Development of Bone Subtraction Iodine Imaging Using High-Resolution CT and Deep Learning Image Reconstruction

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K17252
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: National Cancer Center Japan
• Principal Investigator: HIYAMA Takashi 国立研究開発法人国立がん研究センター, 東病院, 医長 (40807278)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 高精細CT / 深層学習 / サブトラクション / 頭頸部がん / BSI画像

Outline of Final Research Achievements

In this study, bone subtraction iodine imaging allowed us to visualize contrast enhancement within bone, which is difficult with conventional CT, and more accurately assess the extent of tumor invasion. In addition, in areas where metallic artifacts overlap, we were able to more accurately delineate the extent of tumor spread by improving the contrast between the tumor and surrounding tissues and subtracting the artifact itself. This technique is expected to provide a more accurate assessment of tumor extension.

Free Research Field

放射線医学

Academic Significance and Societal Importance of the Research Achievements

CTは簡便，短時間で全身を撮影でき，がん診療において不可欠な検査である．しかし，CTではコントラスト分解能が低いため，骨浸潤や硬膜浸潤の評価は困難で，MRIに頼らざるを得なかった．本研究では造影前後のCT画像をサブトラクションして，造影剤（ヨード）が入った部位のみを描出する骨差分ヨード画像を作成した．これにより骨浸潤の範囲が描出できるようになった．本研究により，CTでのがんのステージグがより正確になり，適切な治療を選択できることが期待できる．